Sökning: "fraud detection"

Visar resultat 1 - 5 av 8 avhandlingar innehållade orden fraud detection.

  1. 1. Logging for Intrusion and Fraud Detection

    Författare :Emilie Lundin Barse; Chalmers tekniska högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES;

    Sammanfattning : Computer security is an area of ever increasing importance. Our society relies on computerised services, which gives many reasons for computer criminals, attackers, terrorists, hackers, crackers, fraudsters, or whatever name is appropriate, to break these systems. To deal with security problems, many types of mechanisms have been developed. LÄS MER

  3. 2. Applying Simulation to the Problem of Detecting Financial Fraud

    Författare :Edgar Alonso Lopez-Rojas; Stefan Axelsson; Thomas Walmann; Blekinge Tekniska Högskola; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; security; privacy; anonymisation; multi-agent-based simulation; MABS; ABS; retail store; fraud detection; synthetic data; mobile money;

    Sammanfattning : This thesis introduces a financial simulation model covering two related financial domains: Mobile Payments and Retail Stores systems. The problem we address in these domains is different types of fraud. We limit ourselves to isolated cases of relatively straightforward fraud. LÄS MER

  4. 3. Aspects of Modeling Fraud Prevention of Online Financial Services

    Författare :Gorton Dan; Lars-Göran Mattsson; Simin Nadjm-Tehrani; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Online banking; fraud; incident response; metrics; incident response tree IRT ; value at risk VaR ; simulation; Transportvetenskap; Transport Science;

    Sammanfattning : Banking and online financial services are part of our critical infrastructure. As such, they comprise an Achilles heel in society and need to be protected accordingly. The last ten years have seen a steady shift from traditional show-off hacking towards cybercrime with great economic consequences for society. LÄS MER

  5. 4. Data Modeling for Outlier Detection

    Författare :Shahrooz Abghari; Niklas Lavesson; Håkan Grahn; Veselka Boeva; Anders Holst; Blekinge Tekniska Högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; data modeling; cluster analysis; stream data; outlier detection;

    Sammanfattning : This thesis explores the data modeling for outlier detection techniques in three different application domains: maritime surveillance, district heating, and online media and sequence datasets. The proposed models are evaluated and validated under different experimental scenarios, taking into account specific characteristics and setups of the different domains. LÄS MER

  7. 5. Data Mining Approaches for Outlier Detection Analysis

    Författare :Shahrooz Abghari; Niklas Lavesson; Håkan Grahn; Veselka Boeva; Olga Fink; Blekinge Tekniska Högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; outlier detection; data modelling; machine learning; clustering analysis; data stream mining; Computer Science; Datavetenskap;

    Sammanfattning : Outlier detection is studied and applied in many domains. Outliers arise due to different reasons such as fraudulent activities, structural defects, health problems, and mechanical issues. The detection of outliers is a challenging task that can reveal system faults, fraud, and save people's lives. LÄS MER